u/Whole-Bee-4610

TL;DR: 28% of Dark Romance bestsellers explicitly reference organized crime (mafia or bratva) in the subtitle. 13 out of 15 trope keywords from subtitles show up in Amazon autocomplete, meaning readers are actually searching for them. But the books with the most reviews tend to NOT use trope keywords at all. Two strategies, both working.

The other day I posted an analysis of Small Town Romance listings. Today I wanted to try something different and on a different sub. Instead of comparing top vs bottom rankings, I wanted to know: what are authors actually putting in their subtitles, and does it match what readers type into Amazon's search bar?

So I grabbed the top 100 books from Amazon's Dark Romance bestseller list, pulled apart every subtitle, counted the words, and then ran the most common terms through Amazon's autocomplete to see which ones readers are actually searching for.

Quick note on what I mean by "subtitle": On Amazon, the full title field usually looks like this: Main Title: Subtitle (Series Name Book 3). I'm looking at the subtitle portion, the part after the colon. That's where authors put their trope keywords.

https://preview.redd.it/lzh3838xajyg1.png?width=1536&format=png&auto=webp&s=8266ad6145e8ddfd1a5de4ad4bfc690291ea5bf0

The raw numbers:

Out of 100 Dark Romance bestsellers:

What appears in the title Count
"romance" 48
"dark" 37
"mafia" 15
"bratva" 13
"daddy" 7
"MC" (motorcycle club) 5
"obsession" 5
"forced marriage" 4
"why choose" 4
"stalker" 4
"billionaire" 4
"omega" 4
"MM" 4
"age gap" 3
"pregnancy" 3
"monster" 3
"bully" 2
"stepbrother" 2
"arranged marriage" 2
"paranormal" 2

48 out of 100 books put the word "romance" in their title. 37 put the word "dark" in there. Almost half the list is spelling out the genre in the subtitle.

Counts are based on substring matches within subtitles, so some phrases overlap (e.g., "dark mafia romance" contributes to counts for both "dark" and "mafia").

The organized crime takeover

This is the thing that jumped out at me. Combine mafia (15) and bratva (13) and you get 28 books.

28% of all Dark Romance bestsellers explicitly reference organized crime in the subtitle.

And it's not just clustered at the top. I checked:

Rank range Mafia/Bratva books
#1-25 10
#26-50 6
#51-75 2
#76-100 7

It shows up in every quartile of the list, though it's heaviest in the top 25. This isn't a couple of authors dominating the top 10. It's a dominant theme across the whole category.

The most common two-word phrase in all 100 subtitles? "Mafia romance" at 10 appearances. "Dark mafia" is second with 6.

The trope stacking

Some of these subtitles read like a tag list on AO3:

  • "A Forced Marriage Age Gap Mafia Romance"
  • "An Obsessive Love, Secret Marriage Dark Bratva Romance"
  • "A Dark Why Choose Bully Romance"
  • "An Age Gap Surprise Pregnancy Dark Romance"
  • "A Forced Proximity Dark Mafia Romance"

55 out of 100 books have at least one trope keyword in the title. The other 45 go with evocative-only titles like "Souls in Ruin" or "Rain of Shadows and Endings" with no trope signaling at all.

So do readers actually search for these words?

This is the part I was most curious about. Authors are stuffing their subtitles with trope keywords, but are readers actually typing those words into Amazon's search bar?

I ran the top 15 trope phrases through Amazon's autocomplete (the suggestions that pop up as you type). If Amazon suggests it, that means enough people search for it that Amazon thinks it's worth recommending.

Keyword In autocomplete?
dark romance Yes
mafia romance Yes
bratva romance Yes
forced marriage romance No
age gap romance Yes
why choose romance Yes
dark mafia romance Yes
billionaire romance dark Yes
stalker romance Yes
bully romance Yes
dark bratva Yes
enemies to lovers dark romance Yes
daddy romance Yes
omega romance Yes
stepbrother romance dark No

13 out of 15 trope keywords appear in Amazon autocomplete. Autocomplete isn't a perfect proxy for search volume, but it does indicate a term is being searched frequently enough for Amazon to surface it as a suggestion. This shows alignment between what authors put in subtitles and what readers actually type into the search bar. Alignment, not causation.

The two that don't show up: "forced marriage romance" and "stepbrother romance dark." Interesting considering forced marriage appears in 4 of the top 100 subtitles. Authors are using that phrase but readers might not be searching for it directly.

Amazon's autocomplete even gets specific. When you type "bratva romance" it suggests "bratva romance dark possessive" and "bratva romance spicy kindle unlimited." When you type "dark mafia romance" it suggests "dark mafia romance with triggers" and "dark mafia romance free books."

But here's the thing.

The books with the most reviews tend to NOT have trope keywords in the subtitle. The top 5 by review count in this list: Alchemised (32,000), Rain of Shadows and Endings (28,000), Chasing Love (23,600), Storm of Secrets and Sorrow (22,900), Tempest of Wrath and Vengeance (18,700). None of them mention a single trope.

That probably isn't a coincidence. Most of those are deep in a series where readers already know what they're getting. They don't need the subtitle to sell the genre. The newer books with fewer reviews are using subtitles as billboards because nobody knows who they are yet. "A Dark Forced Marriage Age Gap Mafia Romance" isn't great prose but it tells a reader scrolling through search results exactly what they're getting in under two seconds.

Series vs standalone: 61 of the 100 are series books. 39 are standalones.

What this tells me and what it doesn't:

This is a snapshot of one category on one day (April 30, 2026). All 100 of these books are already in the top 100 which means they're all succeeding. I can't see the thousands of Dark Romance books below #100 that might also have "bratva" in the subtitle and are going nowhere. This is what winners look like, not what creates winners.

That said, a few observations:

  1. The subtitle trope keywords closely match what readers search for. 13 out of 15 validated through autocomplete. This doesn't capture positioning (e.g., first vs last in subtitle) or phrase combinations, which likely matter more than individual word frequency. But the alignment is there.
  2. There's clearly room for both approaches. 55% signal tropes in the subtitle, 45% don't. Books like "Alchemised" (#14, 32,000+ reviews) and "Losers: Part One" (#24, 13,000+ reviews) dominate without a single trope keyword. Once you have the readership, you don't need the keywords.
  3. The organized crime sub-niche within Dark Romance is massive. If you're writing dark romance that ISN'T mafia or bratva, you might actually have less competition for subtitle real estate because everyone else is fighting over the same "dark mafia romance" space.

Also I can't see ad spend, BookTok virality, ARC teams, newsletter promos, or any of the off-Amazon factors that drive rank. A book at #5 might be there because of a killer ad campaign not because they put "bratva" in the subtitle.

***One more thing:***I run daily scrapers across a bunch of Kindle categories. If there's a category or niche you want me to look at, drop it in the comments. I'm keeping a list.

I use Python to scrape Amazon and Claude Code locally to help me organize and count the data. Real person, just likes building tools. The words and opinions are mine.

Hopefully this info ya'll find interesting!

Thanks!

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u/Whole-Bee-4610 — 14 days ago
▲ 77 r/KDP

Hey everyone!

So I run daily scrapers across a bunch of Kindle categories.

This week I took the top 80 books in Small Town Romance and scraped the listings at the top (ranks 1-20) and the bottom (ranks 61-80) price, page count, publication date, series info, subtitle keywords, blurb content, even which Amazon categories they filed under.

Same list. Same day. Same genre. Top vs bottom.

Big caveat before we get into it: There's a lot I can't see. I can't see who's running Amazon Ads, who got a BookBub feature, who has a 10K email list, who went viral on BookTok, or who's spending $2K/month on promos. All of that moves rank and none of it shows up in a listing scrape. So take everything here as "what the listing looks like" not "what caused the rank." Correlation, not causation. Cool? Cool.

Some of this confirmed what I expected. Some of it genuinely surprised me.

The raw numbers:

Metric Top 20 Bottom 20
Avg price $5.44 $4.49
Avg reviews 3,658 7,658
Avg pages 368 286
KU enrolled 75% 95%
Book 1s 35% 15%
Avg book age 21 days (median) 133 days (median)

Yeah. The bottom 20 has twice the reviews of the top 20. More on that in a sec.

1. The top 20 is basically all new releases.

85% of the top 20 was published in the last 90 days. 60% in the last 30 days. The median age is 21 days.

The bottom 20? Books from 2015, 2018, 2021, 2022 mixed in with recent releases. The median age is 133 days.

This isn't exactly shocking but seeing it laid out this clearly was kind of brutal. You can have 34,000 reviews (Devney Perry's Indigo Ridge) and still sit at #66 because you published in 2021. Amazon's bestseller list is a treadmill. You stop running, you slide.

2. Only ONE of the top 20 books actually filed under "Small Town Romance" as their Amazon category.

This one got me. I assumed the top books in a category would, you know, be filed in that category. Nope.

Here's where the top 20 actually filed:

  • Contemporary Romance (5 books)
  • Literature & Fiction > Romance (3)
  • Romantic Comedy (2)
  • Romantic Suspense (1)
  • Military Romance (1)
  • Westerns > Contemporary (1)
  • Action & Adventure (1)
  • Organized Crime (1)
  • Genre Fiction > Friendship (1)
  • New Adult (1)
  • Small Town Romance (1)
  • Western & Frontier (1)

They're ranking in Small Town Romance through backend keywords, not category selection. They picked bigger or adjacent categories as their visible ones probably to rank in multiple lists simultaneously.

Meanwhile the bottom 20 had books filing under Later in Life, Clean & Wholesome, Short Stories, Werewolves & Shifters. Smaller niches that don't cross-pollinate as well.

3. The bottom stuffs "small town" in the title. The top doesn't.

"Small town" appeared in 7 out of 20 bottom titles/subtitles. Only 2 out of 20 at the top.

The top books signal the vibe with their actual titles: "Maple & Moonlight," "Captivation Creek," "Ravens Ridge," "Bourbon and Lies." You read those and you KNOW it's small town. They don't have to spell it out.

The bottom books literally write "A Small Town Romance" or "A Small Town Single Mom Romance" as the subtitle. It reads like a keyword dump.

4. Blurb language is different.

I pulled every blurb and counted keyword frequency.

The top 20 blurbs lean on: "best friend" (10x), "brother" (9x), "secret" (7x), "protect" (5x), "danger" (5x)

The bottom 20 blurbs lean on: "love" (15x), "HEA" (14x), "heart" (12x), "small town" (8x), "series" (8x)

The top is telling you a story. The bottom is telling you what kind of book it is. There's a huge difference between "she never expected her brother's best friend to show up at her door" and "a small town HEA romance guaranteed series."

Also "grumpy" only appears in the top 20. "Spicy" and "steamy" only appear in the bottom 20. Make of that what you will.

5. Top books are physically longer.

Top 20: 5 books over 450 pages. Only 1 under 150.

Bottom 20: 1 book over 450 pages. 3 under 150 (including two novellas at 58 and 61 pages).

More pages = more KU page reads = stronger revenue signal to Amazon. It also means longer read time, which is good for $.

6. The top 20 has more Book 1s.

35% of the top 20 are series openers. Only 15% of the bottom 20. Average series position in the top is 2.1 vs 2.6 in the bottom.

Readers entering through Book 1 = read-through to the rest of the series = compounding velocity. The algorithm sees a Book 1 sale and knows 3-5 more purchases might follow.

7. Wide books can compete at the top but not at the bottom.

75% KU in the top 20 vs 95% in the bottom. The top has three wide books (including Dana Perino's debut at $14.99 she's a Fox News host, so she's got a built-in audience, but still). The bottom is almost all KU.

Basically: if you're wide, you need enough external traffic to break into the top. If you're in KU, you can hang around the bottom of the list on page reads alone but you'll struggle to climb without a launch push.

What I'd do with this if I were launching a Small Town Romance next month:

  • File under Contemporary Romance or Romantic Comedy, not Small Town Romance. Use "small town" in your backend keywords instead.
  • Don't put "A Small Town Romance" in your subtitle.
  • Write a blurb that tells a story, not a blurb that lists tropes and promises an HEA.
  • Make it at least 300 pages.
  • Launch it within the first week of the month and push hard recency matters more than your backlist.

What this doesn't tell you:

This is a snapshot of 40 listings on one day in one category. I can't see ad spend, newsletter promos, social media pushes, ARC teams, or any of the off-Amazon stuff that drives rank. A book at #5 might be there because of a killer Facebook ad campaign, not because their subtitle is better. And a book at #70 might have a perfect listing but zero marketing budget.

I also can't see Amazon's backend their algorithm weighs a hundred signals I don't have access to. This is just what the public-facing listings look like. Make your own conclusions.

I'd love to run this on thrillers or sci-fi next and see if the same patterns hold. If there's a category you want me to look at, drop it in the comments.

What patterns are you seeing in your category?

One more thing: Yeah, this is a newish account. I use Python to scrape Amazon and I use AI (Claude Code) locally to help me organize the data and spot patterns. Real person, just likes building tools. I thought this was worth sharing and I'm hoping someone finds it useful.

Thanks!

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u/Whole-Bee-4610 — 15 days ago